Eric Tu
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Atherosclerosis and Cardiovascular Diseases
- Psoriasis: Treatment and Pathogenesis
- Physiology top 10%
Papers in
- Immunology 11
- T-cell and B-cell Immunology 9
- Phagocytosis and Immune Regulation 1
- Atherosclerosis and Cardiovascular Diseases 1
- Oncology 5
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Wanjun Chen (6 shared papers)Dunfang Zhang (6 shared papers)Ruiqing Wu (3 shared papers)Xiao Meng (1 shared paper)Qianming Chen (3 shared papers)Jianmin Yang (1 shared paper)Yun Zhang (1 shared paper)Kai Zhang (1 shared paper)
- Journals
- European Journal of Immunology (2 papers)Immunity (2 papers)Blood (1 paper)Nature Immunology (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Eric Tu
18 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Immunology 406
- Physiology 34
- Oncology 180
- Periodontics 49
- Cardiology and Cardiovascular Medicine 96
Countries citing papers authored by Eric Tu
This map shows the geographic impact of Eric Tu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Tu more than expected).
Fields of papers citing papers by Eric Tu
This network shows the impact of papers produced by Eric Tu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric Tu. The network helps show where Eric Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 336 | |
| 2 | 2019 | 229 | |
| 3 | 2014 | 133 | |
| 4 | 2022 | 94 | |
| 5 | 2018 | 81 | |
| 6 | 2015 | 74 | |
| 7 | 2014 | 53 | |
| 8 | 2019 | 48 | |
| 9 | 2023 | 39 | |
| 10 | 2013 | 36 | |
| 11 | 2015 | 35 | |
| 12 | 2012 | 26 | |
| 13 | 2024 | 18 | |
| 14 | 2013 | 12 | |
| 15 | 2013 | 6 | |
| 16 | 2011 | 5 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2026 | 0 |
About Eric Tu
Eric Tu is a scholar working on Immunology, Oncology, Physiology, Gastroenterology and Genetics, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), CAR-T cell therapy research (3 papers), TGF-β signaling in diseases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Virus-based gene therapy research (2 papers), Folate and B Vitamins Research (1 paper), Phagocytosis and Immune Regulation (1 paper) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Immunology (406 citations), Physiology (34 citations), Oncology (180 citations), Periodontics (49 citations) and Cardiology and Cardiovascular Medicine (96 citations). Eric Tu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Wanjun Chen, Dunfang Zhang, Ruiqing Wu, Xiao Meng, Qianming Chen, Jianmin Yang, Yun Zhang, Kai Zhang, Cheng Zhang and Mei Dong. Their work appears in journals such as European Journal of Immunology, Immunity, Blood, Nature Immunology and JCI Insight.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.